BlueMachines.ai: Leading the Way in Voice AI for Enterprises

BlueMachines.ai, a pioneering venture by Apna.co, India’s foremost jobs and careers platform, has ventured into enterprise Voice AI. This new division is aimed at empowering businesses to implement voice-enabled AI agents on a large scale. The platform is structured to offer dependable, compliant, and multilingual AI solutions rooted in Apna’s established AI framework.

Rapid Deployment of AI Voice Agents

With BlueMachines, businesses can swiftly create and roll out fully functional AI voice agents. Within merely 45 days from its inception, the platform secured contracts amounting to over $6 million, showcasing one of the quickest uptake rates in India’s enterprise AI sector. The technology is already being adopted across various domains including lending, mutual funds, insurance, healthcare, recruitment, and edtech, highlighting a robust marketplace for AI-driven automation.

Transforming the AI Landscape

Nirmit Parikh, the Founder and Group CEO of Apna, remarked that BlueMachines represents India’s advancement into the global enterprise Voice AI market. He emphasized that the platform distinguishes itself through speed of execution and reliability; deployments are operational in less than a week, whereas the industry typically sees timelines of five to six weeks. Importantly, the platform boasts a 100% success rate in implementations, a rarity in the enterprise AI field.

High Performance and Multilingual Support

The platform is designed to provide sub-300 millisecond latency, accommodate multiple Indian languages and dialects, and ensure top-tier data governance for safe and efficient operations. BlueMachines operates on a platform-plus-people model, integrating sophisticated AI technology with Forward-Deployed Engineers (FDEs) who assist businesses in progressing from prototype to production swiftly.

Realising the Potential of AI in Enterprises

Kshitij Jain, COO of BlueMachines, highlighted a crucial aspect by stating that while numerous companies are experimenting with AI, only a few are successfully implementing it in live environments. He asserted that their methodology enables businesses to launch operations in days rather than months, ensuring operational and compliant systems—demonstrating that enterprise Voice AI can indeed function at scale.